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iSNO-PseAAC specifications


Unique identifier OMICS_05994
Name iSNO-PseAAC
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Yan Xu

Publication for iSNO-PseAAC

iSNO-PseAAC citations


Protein post translational modifications: In silico prediction tools and molecular modeling

Comput Struct Biotechnol J
PMCID: 5397102
PMID: 28458782
DOI: 10.1016/j.csbj.2017.03.004

[…] lgorithm (NNA) were also proposed to predict SNO sites. However, no web server was later developed for any of these methods, so that their current usage is quite limited. Alternative web-servers are iSNO-PseAAc , which identifies nitrosylated proteins on an independent dataset, predicting sites with 90% accuracy , and GPS-SNO , which also represents a valid tool for an experimentalist providing i […]


Tale of a multifaceted co activator, hADA3: from embryogenesis to cancer and beyond

Open Biol
PMCID: 5043578
PMID: 27605378
DOI: 10.1098/rsob.160153

[…] and CKSAAP []; for SUMOylation, SUMOplot ( and SUMOsp v. 2.0 []; for acetylation, ASEB [] and Phosida []; for nitrosylation, GPS-SNO v. 1.0 [] and iSNO-PseAAC []. hADA3 functions are regulated by these modifications as a result of alteration in their interaction with other proteins, subcellular localization and stability. Previous reports have e […]


Protein S nitrosylation: specificity and identification strategies in plants

PMCID: 4285867
PMID: 25750911
DOI: 10.3389/fchem.2014.00114

[…] reely accessible: GPS-SNO (, Xue et al., ), SNOSite (, Lee et al., ), dbSNO 2.0 (, Lee et al., ; Chen et al., ), iSNO-PseAAC (, Xu et al., ), PSNO (, Zhang et al., ). Recently, Huang et al. () proposed a new web-server ( […]


Computational Prediction of Candidate Proteins for S Nitrosylation in Arabidopsis thaliana

PLoS One
PMCID: 4204854
PMID: 25333472
DOI: 10.1371/journal.pone.0110232

[…] ogram and including all plant proteins in which modified cysteine residues have been verified using mass spectrometry and for which the physiological functions are known (). The programs GPS-SNO 1.0, iSNO-PseAAC, iSNO-AAPair, and SNOSite were tested. The performances of the 4 programs in predicting S-nitrosylation were evaluated () as previously defined , using the 12 characterized S-nitrosylated […]


Prediction of S Nitrosylation Modification Sites Based on Kernel Sparse Representation Classification and mRMR Algorithm

Biomed Res Int
PMCID: 4145740
PMID: 25184139
DOI: 10.1155/2014/438341

[…] e independent testing set contained 113 protein sequences from the latest version of Uniprot database (version 2014_05) (see for details). Two existing S-nitrosylation predictors, iSNO-AAPair [] and iSNO-PseAAC [], were used for comparison. The comparison results of our predictor, iSNO-AAPair, iSNO-PseAAC, and other five data mining algorithms on the independent testing set were presented in . As […]


Prediction of Protein S Nitrosylation Sites Based on Adapted Normal Distribution Bi Profile Bayes and Chou’s Pseudo Amino Acid Composition

Int J Mol Sci
PMCID: 4100159
PMID: 24918295
DOI: 10.3390/ijms150610410

[…] proteins which were not included in the training data set were studied. The sequences of such 37 proteins as well as S-nitrosylation site position are given in . The detailed performances of SNOsite, iSNO-PseAAC, iSNO-AAPair, and iSNO-ANBPB against the 37 independent proteins are summarized in . As can be seen from the table, iSNO-ANBPB outperformed the other three predictor in MCC, verifying the […]


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iSNO-PseAAC institution(s)
Department of Information and Computer Science, University of Science and Technology Beijing, Beijing, China

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